Predicting torsion angles in amino acid protein sequences based on a Bayesian classification procedure on Markov chains

DOI10.1007/S10559-010-9248-4zbMath1332.92047OpenAlexW2081463851MaRDI QIDQ466324

Ivan V. Sergienko, B. A. Biletskyy, Anatol M. Gupal

Publication date: 27 October 2014

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-010-9248-4

zbMATH Keywords

Markov chaintransition probabilitiesBayesian procedureprotein secondary structuretorsion angle

Mathematics Subject Classification ID

Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Protein sequences, DNA sequences (92D20) Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10)

Cites Work

• Optimal pattern recognition procedures and their application
• Predicting protein secondary structure based on Bayesian classification procedures on Markovian chains
• Statistical Inference about Markov Chains

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